Applications being accepted for U-M Undergraduate Summer Institute in Biostatistics — March 15 deadline

By February 23, 2015Educational, Events

The U-M Department of Biostatistics is holding the Undergraduate Summer Institute in Biostatistics from June 1 – 26, 2015. The theme is “Transformational Analytical Learning in the Era of Big Data,” and applications are being accepted through March 15.

Description:

The field of big data science that intersects with public health and biomedicine is changing rapidly with datasets of enormous complexity and size being gathered in diverse areas including genomics, imaging, electronic health records, social media and environmental monitoring. The training of the next generation of quantitative scientists needs to change to meet the demands of the data. We define “Big Data” as datasets of enormous size and complexity (either in number of observations, and/or in the number/nature of predictors/outcomes). Classical theory, computation and intuition often fail for such irregular, sparse data sets of vast size. More training in data management, data storage, visualization, high dimensional statistics, optimization, causal methods, modeling sparse data and machine learning are needed to equip students to tackle these big data challenges. It is expected that the knowledge obtained from these massive heterogeneous data sources will inform prevention, screening, prognosis and treatment of human diseases and play a major role in biology, medicine and public health in the coming decade.

This full-time 4 week summer institute held in the Ann Arbor campus of the University of Michigan is targeted toward undergraduates who have an interest (or are susceptible to being interested) in the intersection of Big Data, Statistics, and Human Health. The institute is led by a distinguished group of faculty from the Department of Biostatistics at the University of Michigan School of Public Health (UMSPH) with additional outstanding faculty from Statistics and Electrical Engineering and Computer Science (EECS).

To apply:

Visit the institute’s “How to Apply” page.